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ninthhousestudios/vidhi

Engineering methodology skills for Claude Code agents — planning, TDD, diagnosis, architecture

Shell MIT GitHub ↗
★ 0
stars
70
AI relevance
50
solo dev
0
tool sigs

SUMMARY AI summary by gpt-5-mini

vidhi is an engineering methodology implemented as Claude Code skills, adapted for the manas ecosystem. It provides structured agent workflows for planning, implementing, testing, and reviewing software work, integrating with yojana (task schema/state) and sutra (code intelligence). Who uses it: agent operators and developer teams running Claude-based agents to manage project work, or to generate review packs for human/model reviewers. Key features: - Skill categories: Grounding (context, domain), Design (brainstorm, PRD), Planning (decompose, premortem, plan), Execution (implement, TDD, diagnose, deepen), Verification (per-task review, release-review). - Full pipeline from idea→shipped feature and wave-based planning. - yojana-aware task dispatch, TDD loop, bug diagnosis, and refactoring. - Review tooling: vidhi-review (inline/codex/brief), vidhi-release-review (review pack, code-intel, parallel architecture + code-review passes, synthesis), multi-model support, automatic diff resolution, and yojana integration for comments and follow-ups.

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🤖 LLM models (1)
Claude

GitHub Topics

#ai-agents #claude-code #skills #software-engineering

Language breakdown (by bytes)

Shell
100%

Owner

Account
ninthhousestudios
Type
User
Followers
1

Dates

Created on GitHub 2026-05-06
Last push 2026-05-09
First seen here 2026-05-09
Last fetched 2026-05-09 14:21

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